Evidence map›Paper›PMID 38634021›Full record

ArticleJournal of conservative dentistry and endodontics2024

Polymerase chain reaction-based identification of various serotypes of

Tanakanti Praveen, Vijayalakshmi S Kotrashetti, Ramakant S Nayak, Sachita Shrikant Naik, Kishore Bhat, Manohar Suresh Kugaji

Abstract read
In one paragraph

Article in Journal of conservative dentistry and endodontics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Co-infection with CbpJournal of oral microbiology · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Development of a loop-mediated isothermal amplification assay for detectingJournal of conservative dentistry and endodontics · 2025
    Article
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Tanakanti PraveenDepartment of Oral Pathology and Microbiology, Maratha Mandal's NGH Institute of Dental Sciences, Belagavi, Karnataka, India.
Vijayalakshmi S KotrashettiDepartment of Oral Pathology and Microbiology, Maratha Mandal's NGH Institute of Dental Sciences, Belagavi, Karnataka, India.
Ramakant S NayakDepartment of Oral Pathology and Microbiology, Maratha Mandal's NGH Institute of Dental Sciences, Belagavi, Karnataka, India.
Sachita Shrikant NaikDepartment of Periodontology, Maratha Mandal's NGH Institute of Dental Sciences, Belagavi, Karnataka, India.
Kishore BhatDepartment of Microbiology, Maratha Mandal's NGH Institute of Dental Sciences, Belagavi, Karnataka, India.
Manohar Suresh KugajiDepartment of Microbiology, Maratha Mandal's NGH Institute of Dental Sciences, Belagavi, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Dental caries is a multistep process which initiates the development of plaque' defined as a structured biofilm containing microbial communities. Teeth provide unique surfaces for bacterial colonization. Serotypes of Aim: The aim of the study was to determine the prevalence and association of serotypes of S. mutans in groups with and without dental caries. Materials and Methods: One hundred and fifty adults aged between 18 and 35 years were included in the study. Supragingival plaque samples were collected, followed by deoxyribonucleic acid extraction. Polymerase chain reaction was performed to identify Results: CA group showed 66.7% positivity for Conclusions: The study clearly established variation in proportions of

Indexed as

Polymerase chain reactionserotypesStreptococcus mutans

Identifiers

PMID38634021
PMCPMC11019802

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.